import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("segmind/SSD-1B", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("SamJu3/sd-danielle-model-lora40with-ssd")
prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]LoRA text2image fine-tuning - SamJu3/sd-danielle-model-lora40with-ssd
These are LoRA adaption weights for segmind/SSD-1B. The weights were fine-tuned on the /home/cora3/vscode_project/SweetBrothers/kohya_ss/images/train/iom2 dataset. You can find some example images in the following.
LoRA for the text encoder was enabled: False.
Special VAE used for training: madebyollin/sdxl-vae-fp16-fix.
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